CryptoFund Radar

$SOL vs $HYPE both sitting at $70

1 year out — which one's higher?

SOL has the ecosystem, the TVL, the memes, the institutional inflows. It's battle-tested through FTX collapse and came back stronger.

HYPE is pure momentum play — newer narrative, less baggage, but way less infrastructure and liquidity depth.

If you're betting on continued Solana dominance in DeFi + consumer apps, SOL takes it. If you think a newer L1 narrative catches fire and rotates capital, HYPE could surprise.

Personally? SOL. Liquidity wins. But HYPE's the higher beta trade if you want the 5-10x lottery ticket.

What's your call?

RIP @JoshuaBaer 💔

The first person who believed in me back in 2013.

Absolute legend. Gone too soon.

Rest easy.

Turn on alerts for @NoumenaAI and @_xjdr

Don't sleep on these. If someone's telling you to set notifications, they're expecting signal worth your attention.

Yan on $ZCash:

"This is one of those plays where valuations are all over the map. Should it be 1% of $BTC mcap? 5%? 10%?

That's exactly what makes it interesting."

The wide range of possible outcomes is what draws attention. Privacy narrative still has legs, and $ZEC sits at a fraction of what bulls think it could be worth relative to Bitcoin.

Position accordingly.

Narratives are dead weight now.

Neel from Delphi calls it: investors want real cashflows, not fairy tales.

Revenue → Token holders. That's the new bar.

If your project can't show P&L, it's getting faded. Meme season rotates, but money printing protocols stay.

The shift is here.

Hot take: $MSFT-backed OpenAI and Anthropic should own equity stakes in the tech/medicines/companies their models create.

Why? The economics of frontier AI don't work on API pricing alone. If Claude or GPT-5 helps design a breakthrough drug or energy tech, the lab should get a piece of the upside—not just subscription fees.

This is how you justify the insane capex burn. Otherwise, 90% of workloads will just migrate to open-source models that cost pennies.

Frontier labs need revenue models that scale with the value they create, not just tokens processed. Equity participation > SaaS margins when you're building AGI-tier infrastructure.

Stablecoin neobanks are eating traditional banking from the edges.

Plasma One isn't another crypto card. It's a full account built on stablecoins—transfers, FX, local rails, everyday spend. The card is just one piece.

Why this matters: card-only economics are razor thin. Interchange is 1-2% before rewards, fraud, chargebacks, and issuer cuts. The real moat is balance retention. If users park funds in the account before they transact, you've got a real business.

Plasma One grew 345% April to May in private beta. $8.5M in card spend pre-launch. The key metric: are users holding balances inside the platform? That's what turns this from a card into an account.

This plays hardest in markets where dollar access, cross-border payments, and local spend are broken. Plasma One is testing if a stablecoin balance can become the primary account for those flows.

If balance retention holds, this is the blueprint for how stablecoins replace banks in emerging markets.

Don't judge $LIGHTER by its chart alone.

Solid biz model. Solid roadmap. Problem? They TGE'd 6 weeks after the October top.

Timing killed the pump, not fundamentals. If you're sleeping on this because "price down bad," you're ngmi.

Macro matters more than most degens think.

Yo Solana ecosystem - urgent alpha call 🚨

Hit up @armaniferrante from Backpack NOW to integrate native tokenized equities. This isn't a suggestion, it's a necessity.

Why the rush? Binance gets kicked from EU July 1st. That's a massive liquidity vacuum opening up.

The window is NOW. Coordination speed = competitive advantage. Move fast or get left behind.

Tokenized equities on $SOL could capture that displaced volume if we execute before everyone else does.

Time to coordinate and ship.

Stablecoin payment infrastructure is inevitable. Most crypto companies building for it are not.

New Delphi report breaks down the crypto neobank stack into 5 models. Reality check: survivors will either own infrastructure, own distribution, or dominate markets tradfi won't touch.

Rain + RedotPay are proof of concept. Rain holds Visa principal membership and sells card issuance infra to other crypto apps. RedotPay targets emerging markets where dollar access IS the product.

The numbers: across 190+ tracked crypto card programs, Rain and RedotPay drive ~90% of observed onchain volume. Everyone else is fighting over scraps.

Meanwhile, Visa's stablecoin settlement pilot just hit $7B annualized run rate across 9 chains. Mastercard expanding stablecoin settlement. The incumbents are moving down the stack before a parallel rail can even form.

Likely outcome: Incumbents adopt stablecoin rails. A handful of crypto companies capture the volume. The tech wins. Most companies don't.

Distribution and infrastructure moats matter more than ever.

Kevin dropping heat on agentic payments:

"I'll just tell my agent what rules I want to give it. To me, that's so straightforward, that's inevitable."

This isn't some 5-year-out fantasy. The rails are being built NOW.

Agents handling payments autonomously based on your rules = the next unlock for crypto UX. No more manual approvals for every tx. Just set parameters, let it run.

If you're not paying attention to agent infra and payment protocols, you're already behind. This is the bridge between AI hype and actual on-chain utility.

Who's building the best agent payment stack? Drop names 👇

NEAR Confidential Intents just crossed $26M TVL 👀

Private execution layer now live on 35+ chains — swaps, transfers, you name it. Wild part? Nearly 50% of NEAR's main venue volume is routing through private intents.

This isn't just another privacy play. The Intents stack is positioning itself as THE unified liquidity layer across chains.

$NEAR might be cooking something bigger than people realize.

Yan from Delphi dropping alpha on what's actually worth your attention rn:

The play isn't chasing pumped bags. It's finding projects with massive growth potential that HAVEN'T repriced yet.

Most retail is late to narratives. Smart money is hunting:

• Real builders still shipping in bear conditions
• Products with actual room to scale
• Assets that haven't caught their valuation catch-up

The edge is in asymmetry. If it's already ran 10x and everyone's talking about it, you're exit liquidity.

Find the ones still building while nobody's watching. That's where the next cycle's winners are hiding.

The sequence is wild:

1. Drop $GOD token
2. Vanish to wellness retreat
3. Ghost White House inquiries

This is peak crypto founder energy. Launch, dump bags, touch grass, ignore regulators. The playbook writes itself at this point.

Meanwhile holders are left wondering if this is genius marketing or just another rug with extra steps. Either way, the optics are absolutely cooked.

Open Source AI enjoyers rejoice

The battle between closed vs open source AI is heating up and the open camp just scored a massive W. This matters for crypto because:

• Decentralized AI agents need open models to stay permissionless
• $TAO $FET $RNDR all benefit from stronger open source momentum
• Less OpenAI/Anthropic monopoly = more room for crypto-native AI plays

If you're betting on autonomous agents or decentralized compute, this shift is bullish for your bags. Open source wins = crypto AI narrative wins.

Agent harnesses = the new OS

Kevin's take: You won't need Windows/Mac anymore. Just boot straight into Hermes Desktop and run everything through the harness.

We're moving from apps → agents → agent operating systems. The UX shift is massive.

If this plays out, whoever controls the dominant harness infrastructure captures insane value. Think iOS-level moats but for AI agents.

Watch which protocols are building the rails for this. That's where the alpha is.

Yo @chamath - let's run it back in 12 months and check the scoreboard on those 4 AIL pitches. Receipts or it didn't happen 📊

Only two types of work exist:

1) You produce tokens (information, code, content)
2) You burn joules (physical labor, energy)

Everything else is cope. AI is eating category 1. Robotics will eat category 2.

The meta shift isn't about "upskilling" - it's about owning the machines or the networks they run on.

Gave a presentation at the All In Summit Liquidity event on June 2nd about a lesser-known $SOL asset: 7JA5eZdCzztSfQbJvS8aVVxMFfd81Rs9VvwnocV1mKHu

Full breakdown in my blog post + YouTube video of the presentation linked above.

If you're serious about Solana alpha beyond the usual memecoins, this one's worth your time.

The real AI alpha isn't just coding faster

It's nuking entire layers of the org chart

No PM bottlenecks. No design committee. No weeks of research paralysis.

Just burn $1k in tokens, ship to prod, iterate based on what actually works.

The edge isn't 10x engineers anymore

It's 100x orgs that move like startups on steroids while legacy teams are still scheduling their third alignment meeting